In recent years, word2vec has been widely applied to many aspects of Natural Language Processing (NLP) and information retrieval such as machine translation [1]}, [2]}, text classification [3]}, text summarization [4]}, and named entity recognition [5]}. Furthermore, word2vec is used in various fields such as materials science [6]}, healthcare [7]}, and recommendation engines [8]}, [9]}, [10]}.
